Evidence map›Paper›PMID 31678155›Full record

ReviewGenomics2020

Advances in methods and software for RNA cytosine methylation analysis.

Xiguang Xu, Xiaoran Wei, Hehuang Xie

Open access · hybridAbstract readReview
In one paragraph

Review in Genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 37% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Dynamics of RNA mGenomics · 2023
    Article
  3. RNA methylation in plants: An overview.Frontiers in plant science · 2023
    Review
  4. Article
  5. Article
  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Xiguang XuFralin Life Sciences Institute at Virginia Tech, Blacksburg, VA 24061, USA; Department of Biological Sciences, Virginia Tech, Blacksburg, VA 24061, USA.
Xiaoran WeiFralin Life Sciences Institute at Virginia Tech, Blacksburg, VA 24061, USA; Department of Biomedical Sciences and Pathobiology, Virginia-Maryland College of Veterinary Medicine, Blacksburg, VA 24061, USA.
Hehuang XieFralin Life Sciences Institute at Virginia Tech, Blacksburg, VA 24061, USA; Department of Biological Sciences, Virginia Tech, Blacksburg, VA 24061, USA; Department of Biomedical Sciences and Pathobiology, Virginia-Maryland College of Veterinary Medicine, Blacksburg, VA 24061, USA. Electronic address: davidxie@vt.edu.
Virginia Tech · USVirginia–Maryland College of Veterinary Medicine · US

Funding

The epigenetic role of EGR1 during postnatal brain development and in neuronal activityR01NS094574 · NINDS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI XIE, HEHUANG · 2016 to 2020
$1.7M
NINDS NIH HHS R01 NS094574
6 · The paper itself

Abstract

Our understanding of RNA modifications has been growing rapidly over the last decade. Epitranscriptomics has recently emerged as an exciting, new field for understanding the fundamental mechanisms underlying RNA modifications and their impact on gene expression. Among the over one hundred different kinds of RNA modifications, cytosine methylation in mRNA (5-mrC) is now recognized as an important epigenetic mark that modulates mRNA transportation, translation, and stability at the post-transcriptional level. Across plant and animal species, recent studies have revealed the roles of mRNA cytosine methylation in several fundamental biological processes. In mammals, genome-wide profiling has determined thousands of mRNA transcripts carrying the 5-mrC modification in a tissue specific manner. Here, we summarize the experimental techniques that were exploited to determine 5-mrC in mRNA and the computational procedures implemented for RNA bisulfite sequencing data analysis.

Indexed as

RNA Processing, Post-TranscriptionalSoftware5-MethylcytosineAnimalsEpigenomicsHumansMethylationRNA, MessengerSequence Analysis, RNA5-MethylcytosineRNA, MessengerMethylation data analysisPost-transcriptional regulationRNA bisulfite sequencingRNA cytosine methylation

Identifiers

PMID31678155
PMCPMC7195603
OpenAlexW2982486151

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.